News
SpaceX’s orbital Starship launch debut may be pushed to 2022 by slow FAA reviews
In a rare sign of material progress, SpaceX and the FAA have finally released what is known as a draft environmental assessment (EA) of the company’s South Texas Starship launch plans.
Set to be the largest and most powerful rocket in spaceflight history when it first begins orbital launches, the process of acquiring permission to launch Starship and its Super Heavy booster out of the wetlands of the South Texas coast was never going to be easy. The Boca Chica site SpaceX ultimately settled on for its first private launch facilities – initially meant for Falcon 9 and Falcon Heavy but later dedicated to BFR (now Starship) – is simultaneously surrounded by sensitive coastal habitats populated by several threatened or endangered species and situated mere miles as the crow flies from a city whose temporary population oscillates from a few thousand to tens of thousands.
Reception and analysis of the draft and its timing have been mixed. On one hand, SpaceX’s draft EA – completed with oversight from the FAA and help from the US Fish and Wildlife Service (USFWS) – gives a number of reasons for optimism. In a sign that SpaceX is taking a pragmatic approach to the inevitable environmental review and launch license approval hurdles standing in front of orbital South Texas Starship launches, the company has actually pursued what is known as a “programmatic environmental assessment” (PEA).
Most importantly, that means that SpaceX’s Starbase PEA – if approved – will be more like a foundation or stepping stone that should make it easier to start small and methodically expand the scope and nature of the company’s plans for Boca Chica. Along those lines, as part of Starbase’s first dedicated environmental assessment, SpaceX has proposed a maximum of 23 flight operations annually while Starship is still in the development phase, including up to 20 suborbital Starship test flights and 3 orbital launches (or Super Heavy hops). Once SpaceX has worked out enough kinks for slightly more confident Starship operations, the company would enter an “operational phase” that would allow for as many as five suborbital Starship launches and five orbital Starship launches, as well as ship and booster landings back on land after all 10 possible launches.
In other words, SpaceX’s initial draft PEA is extremely conservative, requesting permission for what amounts to a bare minimum concept of operations for orbital Starship launches. At a maximum of 3-5 orbital launches per year, a PEA and subsequent launch license approved as-is would likely give SpaceX just enough slack to perform basic Earth orbit launches and no more than one or two orbital refilling tests per year. However, as an example, a five-launch maximum would almost entirely prevent SpaceX from launching Starship to Mars, the Moon, and maybe even high-energy Earth orbits without using all of its annual launch allotments on a single mission.
Perhaps most importantly, the draft PEA as proposed would unequivocally prevent SpaceX from performing the NASA Human Lander System (HLS) Moon landings it received an almost $3 billion contract to complete. Each HLS Starship Moon landing is expected to require anywhere from 10-16 launches to deliver a depot ship, HLS lander, and ~1200 tons of propellant to orbit. However, in terms of SpaceX’s prospects of developing Starship as quickly as possible, that’s actually a good thing. Above all else, SpaceX’s slimmed-down draft PEA should be far easier for the FAA to approve than a PEA pursuing permission for Starship’s ultimate ambitions – dozens to hundreds of launches annually – from the beginning. In theory, with this barebones PEA approved, SpaceX would then be able to build off the foundation with additional environmental assessments – like, for example, of expanding Starship’s maximum launch cadence.
Of course, SpaceX first needs the FAA turn this first draft PEA into a favorable environmental assessment (not a guarantee) before any of the above starts to matter. Based on the content of the draft itself and associated appendixes, SpaceX appears to have a decent shot at receiving a “finding of no significant impact (FONSI)” or “mitigated FONSI” determination. However, SpaceX began the process of creating that draft as far back as mid-2020, followed by an FAA announcement in November 2020. The implication is that the FAA managed to drag out a draft release process that some have estimated should have taken 3-4 months into an arduous 10-15 month ordeal.
Combined with the uphill battle it’s starting to look like SpaceX will have to wage for an orbital Starship launch license in South Texas, it’s looking increasingly likely that Starship, Super Heavy, and Starbase will be technically ready for orbital launch tests well before the FAA is ready to approve or license them. Barring delays, the public now has until mid-October to read and comment on SpaceX’s draft PEA, after which the FAA and SpaceX will review those comments and hopefully turn the draft into a completed review. Even if the FAA were to somehow take just two months to return a best-case FONSI, clearing Starbase of environmental launch hurdles, it’s hard to imagine that the agency could then turn around and approve an orbital Starship launch license – or even a one-off experimental permit – in the last few weeks of 2021.
Ultimately, that means that nothing short of a minor miracle is likely to prevent the FAA’s environmental review and licensing delays from directly delaying Starship’s orbital launch debut. There is at least a chance that Starship, Super Heavy, and Starbase’s orbital launch site wont be ready for orbital launches by the end of the year, but it’s increasingly difficult to imagine that all three won’t be proof tested, qualified, and ready for action just a month or two from now. For the time being, we’ll just have to wait and see where the cards fall.
News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
